PSRT: Pyramid Shuffle-and-Reshuffle Transformer for Multispectral and Hyperspectral Image Fusion

A Transformer has received a lot of attention in computer vision. Because of global self-attention, the computational complexity of Transformer is quadratic with the number of tokens, leading to limitations for practical applications. Hence, the computational complexity issue can be efficiently reso...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2023, Vol.61, p.1-15
Hauptverfasser:	Deng, Shang-Qi, Deng, Liang-Jian, Wu, Xiao, Ran, Ran, Hong, Danfeng, Vivone, Gemine
Format:	Artikel
Sprache:	eng
Schlagworte:	Complexity Computational modeling Computer applications Computer vision Feature extraction Hyperspectral imaging Image enhancement Image fusion multispectral and hyperspectral image fusion (MHIF) Patches (structures) pyramid structure Remote sensing Shuffle-and-Reshuffle (SaR) Transformer Task analysis Transformers
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